Lagrangean Approximation for Combinatorial Inverse Problems
نویسندگان
چکیده
Abstract: Various combinatorial problems are effectively modelled in terms of (0,1) matrices. Origins are coming from n-cube geometry, hypergraph theory, inverse tomography problems, or directly from different models of application problems. Basically these problems are NP-complete. The paper considers a set of such problems and introduces approximation algorithms for their solutions applying Lagragean relaxation and related set of techniques.
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تاریخ انتشار 2008